STOCK MARKET BSE NSE

High mental workload of staff can lead to industrial accidents, IIT Madras researchers show

The research was done using electroencephalogram (EEG) to assess mental sharpness during a crisis among operators in a chemical plant, said a statement from the institute

Published: 01st September 2020 08:25 PM  |   Last Updated: 01st September 2020 08:25 PM   |  A+A-

IIT Madras

IIT Madras (File photo | EPS)

Express News Service

CHENNAI: The high cognitive workload of workers makes them prone to commit errors that can lead to accidents, researchers at Indian Institute of Technology Madras (IIT-M) have shown. The research was done using electroencephalogram (EEG) to assess mental sharpness during a crisis among operators in a chemical plant, said a statement from the institute.

EEG involves placing sensors on the scalp of a person to measure brain wave activity. Such measurements help in assessing the capability of the worker to respond to an emergency in real-time, which, in turn, could prevent accidents and mishaps on a factory floor.

The cognitive workload is the level of measurable mental effort that is expended by an individual to perform a task. This research was undertaken by a team led by Prof. Rajagopalan Srinivasan, Department of Chemical Engineering, Mohd Umair Iqbal and Prof. Babji Srinivasan. The results of this study have been published recently in the reputed peer-reviewed Journal of Computers and Computer Engineering.

Srinivasan said, “Human errors are the cause of nearly 70 per cent of industrial accidents, the world over. Human errors, whether at the planning or execution stage, depend not only on the skill of the worker but also on his/her mental state and sharpness at that time. Anybody’s performance will become error-prone if there is a mismatch between the demands of the task which the person is responsible for and their ability at that moment to handle it. Such a mismatch leads to high cognitive workload in human operators, often a precursor to poor performance.”

The researchers aim to study the potential of these EEG methods to improve human performance in various high-risk industries, thus opening a new paradigm to industrial safety and its links to the real-time mental state of workers.



Comments

Disclaimer : We respect your thoughts and views! But we need to be judicious while moderating your comments. All the comments will be moderated by the newindianexpress.com editorial. Abstain from posting comments that are obscene, defamatory or inflammatory, and do not indulge in personal attacks. Try to avoid outside hyperlinks inside the comment. Help us delete comments that do not follow these guidelines.

The views expressed in comments published on newindianexpress.com are those of the comment writers alone. They do not represent the views or opinions of newindianexpress.com or its staff, nor do they represent the views or opinions of The New Indian Express Group, or any entity of, or affiliated with, The New Indian Express Group. newindianexpress.com reserves the right to take any or all comments down at any time.

IPL_2020
flipboard facebook twitter whatsapp